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Titel:

Predicting the local solidification time using spherical neural networks

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Erber, Maximilian; Rosnitschek, Tobias; Bauer, Constantin; Ali Güldali, Muhammet; Alber-Laukant, Bettina; Tremmel, Stephan; Volk, Wolfram; Hartmann, Christoph
Abstract:
Castings are predestined for the application of structural optimization, but to date, the integration of process simulation into structural optimization is limited due to high computational cost and is therefore often neglected at the beginning of the design process. This leads to the need for surrogate models, which allow a fast and simplified evaluation of design proposals during the optimization in order to improve the integration. This article introduces a novel approach that estimates the s...     »
Zeitschriftentitel:
IOP Conference Series: Materials Science and Engineering
Jahr:
2023
Band / Volume:
1281
Heft / Issue:
1
Seitenangaben Beitrag:
012037
Nachgewiesen in:
Scopus
Reviewed:
ja
Volltext / DOI:
doi:10.1088/1757-899x/1281/1/012037
Verlag / Institution:
IOP Publishing
E-ISSN:
1757-89811757-899X
Publikationsdatum:
01.05.2023
TUM Einrichtung:
Lehrstuhl für Umformtechnik und Gießereiwesen
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